Ziyue Qiao

Orcid: 0000-0002-9485-4861

According to our database1, Ziyue Qiao authored at least 32 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

Information filtering and interpolating for semi-supervised graph domain adaptation.
Pattern Recognit., 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks, 2024

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model.
Expert Syst. Appl., 2024

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis.
CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.
CoRR, 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.
CoRR, 2024

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.
CoRR, 2024

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.
CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR, 2024

2023
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.
CoRR, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
A new Asymmetric Link Quality Routing protocol (ALQR) for heterogeneous WSNs.
Microprocess. Microsystems, September, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Data Augmentation for Graph Convolutional Network on Semi-supervised Classification.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion.
CoRR, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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